First of all, are you using video throughout your marketing? If not, consider these facts:
- 86% of businesses use videos as a marketing tool.
- Videos on social media are 12 times more shared than text and images combined.
- Marketers land 66% more qualified leads through video marketing.
Convinced? Good. Now let’s make your videos stickier and more useful than the videos your competitors use. As with many things today, the answer is 1) data, and 2) AI. Also known as “AI video analytics.”
This advanced technology transforms your content strategy by giving you a ton of actionable insights. Use them to make videos that resonate deeply with viewers and boost engagement.
What Is AI Video Analytics?
It’s a tireless video analyst constantly dissecting your content. That’s essentially what AI video analytics software does. And it’s a good thing because it shows you strengths and weaknesses. Go beyond simple view counts and get into the heart of your video’s performance.
AI analyzes viewer engagement metrics like watch time, click-through rates, and drop-off points within the video. It can even decipher scene-by-scene performance, revealing which sections hold viewers captive and which ones make them leave.
But an AI video analytics system doesn’t stop there. It analyzes your audience demographics, giving you invaluable insights into who’s watching your videos and why. With all this data, AI video analytics prepares you to make data-driven decisions and build content strategies that connect directly with your audience.
Benefits of AI Video Analytics
By identifying areas for improvement and suggesting data-driven optimizations, AI video analytics software lets you allocate your resources more effectively, focusing your efforts on what matters – creating content that captivates your audience. Here’s what that means for your content strategy:
A. Build Winning Content from the Ground Up
No more guessing. AI helps you create winning content from the very beginning. Analyze vast amounts of video data (including your own and industry benchmarks) with AI to find the video lengths, content formats, and scene structures that your audiences like and want. AI can analyze your video library to identify which types of content (like product demos or customer testimonials) foster the most engagement to help you shape your next videos.
B. Get the Most Engagement
Let’s face it, every video has its lulls. But wouldn’t it be great to pinpoint exactly where viewers lose interest? AI video analytics helps you do just that. By analyzing engagement metrics throughout the video, AI can tell you which scenes have low viewership or high drop-off rates. Maybe a particular scene needs a more dynamic intro or requires clearer explanations. AI gives you the insight and your creativity makes the improvements.
Don’t forget A/B testing. AI can evaluate different video thumbnails or intros to see which ones capture your viewers’ attention better. AI analyzes user behavior data from these tests so you can improve any – or every – aspect of your video.
C. Tailor the Experience
Nowadays, personalization is king. Viewers delight in content that feels relevant and speaks directly to them. AI video analytics helps you deliver precisely that.
Ultimately, an AI video analytics system means measurable results. Expect better video completion rates, better audience targeting, and significantly better overall effectiveness of your video marketing.
How AI Video Analytics Works
AI video analytics tools use machine learning algorithms to analyze vast amounts of video data. These algorithms are trained on massive datasets of videos and viewer behavior to identify patterns and trends within your video content.
Like what? Like this:
- Engagement Metrics: Analyze watch time, click-through rates, and drop-off points throughout the video to find areas of low engagement.
- Scene-by-Scene Performance: Understand which scenes resonate with viewers and which ones lead to the dreaded drop-offs.
- Audience Demographics: Gain insights into who’s watching your videos, such as age, location, and interests.
This comprehensive analysis gives you actionable insights you’ll use to refine your video marketing strategy.
Implementing AI Video Analytics in Your Content Strategy
Okay, how do you actually do it? Simple. Using an AI video analytics system in your content strategy is pretty straightforward:
- Choose an AI Tool: Select a tool from one of the many AI video analytics companies that aligns with your specific needs and budget. Many options are available, so research and compare features.
- Analyze Existing Content: Gain valuable insights into audience preferences and identify areas for improvement by analyzing your existing video library.
- Inform New Content Creation: Use AI insights to guide decisions about video length, format, and scene structure when you create new content.
- Optimize for Engagement: Pinpoint and address sections with low viewership to make sure your videos attract the most engagement.
Need more specific guidance? We got you. Check out how SundaySky can help, here. [https://sundaysky.com/ai-video/ ] SundaySky’s Video Platform reporting lets you measure and analyze your viewer engagement performance and improve your video strategy. Out-of-the-box video analytics reports and easy-to-use customize surveys let you measure your audience’s engagement and your video’s impact on customer understanding and Net Promoter Score.
By integrating AI video analytics tools throughout your content creation process, you can develop data-driven video strategies that your audience will eat up while you achieve your marketing goals.
When you embrace AI video analytics, you unlock the full potential of your video marketing.
